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    Principal component analysis on time-lapse captured digital holograms of cell clusters


    Pitkäaho, Tomi and Manninen, Aki and Naughton, Thomas J. (2018) Principal component analysis on time-lapse captured digital holograms of cell clusters. In: Biophotonics Congress: Biomedical Optics Congress 2018, 2018.

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    Abstract

    Principal component analysis (PCA) is applied on extracted data of digital holograms of growing cell clusters. We show that PCA can be used to discriminate control and tumorigenic samples.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Principal component analysis; time-lapse; captured; digital holograms; cell clusters;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15590
    Identification Number: https://doi.org/10.1364/TRANSLATIONAL.2018.JW3A.68
    Depositing User: Thomas Naughton
    Date Deposited: 28 Feb 2022 15:27
    Refereed: Yes
    URI:

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